Method of video motion detection by adjusting the fields' length in the temporal domain and selecting the configurable patterns in the spatial domain

Abstract

A method for separating the motion and stationary video pixels during the video de-interlacing process by adjusting the fields' length in the temporal domain and selecting the configurable patterns in the spatial domain.

1. A method for separating the motion and stationary video pixels during the video de-interlacing process by adjusting the fields' length in the temporal domain and selecting the configurable patterns in the spatial domain, and the method comprising steps of:
 providing an interlaced video sequence of continuous temporal domain; said interlaced video sequence containing multiple first fields and multiple second fields, and said multiple first fields and multiple second fields being mutually interlaced videos; said multiple second fields also containing a target field to be processed and said target field containing a target pixel to be processed; 
 detecting a first state; said first state representing a pixel of the spatial coordinate location related to said target pixel in said multiple first fields being constant; 
 detecting a second state; said second state representing, in said multiple second fields, a first pixel of one line of the spatial coordinate location related to said target pixel, and a second pixel of the next line of the spatial coordinate location related to said target pixel being both constant; where said first pixel, said second pixel, and said pixel of the spatial coordinate location related to said target pixel are on the same line; 
 detecting a third state; said third state representing, in said target field, the pixels of the spatial coordinate location of the upper and lower neighbored pixels related to said target pixel are constant; 
 detecting a fourth state; said fourth state representing, in the previous interlaced field and the next interlaced field of said target field, the pixels of the spatial coordinate location of the neighbored left and right pixels related to said target pixel being constant; 
 if said first state and said second state being both satisfied, then said target pixel being classified as stationary; and 
 if said third state and said fourth state are both satisfied, then said target pixel being classified as motion; 
 wherein for detecting said first state, said second state, said third state, and said fourth state, {|F n (P)−F n−2 (P)|<=α} is used to measure the variation of the P pixel in the F n  field, where n is the field Index, and α is a threshold value. 
 
     
     
       2. The method according to  claim 1  wherein said multiple first fields are odd fields and said multiple second fields are even fields. 
     
     
       3. The method according to  claim 1  wherein said multiple first fields are even fields and said multiple second fields are odd fields. 
     
     
       4. The method according to  claim 1  wherein F n  is one of said multiple first Fields. 
     
     
       5. The method according to  claim 1  wherein for the second state, F n  is one of said multiple second Fields. 
     
     
       6. The method according to  claim 1  wherein for the third state, F n  is said target field. 
     
     
       7. The method according to  claim 1  wherein for the fourth state, F n  is the previous interlaced field and next interlaced field of said target field. 
     
     
       8. The method according to  claim 1  wherein a counter is used to record the measured result of {|F n (P)−F n−2 (P)|<=α}. 
     
     
       9. The method according to  claim 8  wherein, if {|F n (P)−F n−2 (P)|<=α} is true, then the counter is increased; if {|F n (P)−F n−2 (P)|<=α} is false, then the counter is cleared.